Citigroup, Inc

Lead AI Engineer, Banking Technology - Senior Vice President

Citigroup, Inc • $145K — $217K *
Mississauga, ON L4T 0A1In-Person
Finance & Insurance
8 - 10 years of experience
Reposted 6 days ago
Job Overview by Ladders

Qualifications

  • 10+ years of software engineering experience with hands-on contributions.
  • 3+ years in AI, LLM systems, and agentic architectures.
  • Success in architecting and delivering enterprise-scale AI solutions.
  • Expertise in Python and/or Java, with experience in JavaScript/TypeScript.
  • In-depth understanding of AI fundamentals like automated planning and multi-agent systems.
  • Experience with LLM platforms and AI coding tools.
  • Strong capability in designing APIs for AI services.

Responsibilities

  • Lead integration of functions to enhance processes and deploy products.
  • Analyze and develop solutions for complex business and system processes.
  • Define application methodologies for program analysis and implementation.
  • Consult with users to specify system function requirements.
  • Allocate work and mentor development teams.
  • Influence senior leaders and communicate effectively with stakeholders.
  • Ensure AI solutions consider banking domain impact and compliance.

Benefits

  • Health insurance options including medical, dental, and vision coverage.
  • Retirement plan with company match.
  • Opportunity for professional development and continuing education.
  • Work-life balance initiatives including remote work options.
Full Job Description
Role Overview

We are seeking an AI-first Lead AI Engineer to define, architect, and deliver enterprise-scale AI solutions across Investment, Corporate, and Commercial Banking.

This role combines deep hands-on technical leadership with architectural ownership, driving the adoption of LLMs, agentic workflows, and generative AI platforms to improve efficiency, automation, simplification, and risk reduction. The Lead AI Engineer will shape both technical delivery and engineering culture, partnering closely with multiple technology and business teams.

Responsibilities:
  • Lead integration of functions to meet goals, deploy new products, and enhance processes
  • Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
  • Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
  • Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
  • Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
  • Consult with end users to identify system function specifications and incorporate into overall system design
  • Allocate work, and act as an advisor/coach developers, analysts, and new team members
  • Influence and negotiate with senior leaders and communicate with external parties
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Lead the design, hands-on implementation, and deployment of scalable agentic AI and generative AI solutions for high-impact business use cases.
  • Architect advanced agent-based systems (perception, reasoning, planning, execution), integrating multiple LLM providers (OpenAI, Anthropic, Google).
  • Build and deliver production-grade, full-stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot, Antigravity).
  • Champion MVP-driven delivery, rapid iteration, hypothesis testing, and experimentation (A/B testing) to achieve fast time-to-value.
  • Define rigorous evaluation frameworks and metrics for AI and agent performance, ensuring continuous optimization and alignment with business goals.
  • Proactively evaluate and integrate emerging AI technologies, particularly in agent-based and autonomous AI systems, while acting as a thought leader and coach.
  • Provide front-line technical leadership, guide architectural decisions, and mentor engineers across AI, data, and application teams to build an AI-first engineering culture.
  • Ensure all AI solutions are grounded in deep banking domain understanding and clearly articulate business and risk impact beyond pure technical implementation.


Qualifications:

  • 10+ years of progressive software engineering experience with sustained hands-on contributions.
  • 3+ years of dedicated experience in AI, LLM-based systems, and agentic architectures.
  • Proven success architecting and delivering multiple enterprise-scale AI solutions into production.
  • Expert-level proficiency in Python and/or Java (Spring Boot); solid experience with JavaScript/TypeScript (Angular, Node.js).
  • Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision-making under uncertainty, multi-agent systems).
  • Extensive hands-on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).
  • Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).
  • Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.
  • Proven ability to design and expose robust, scalable APIs for AI services.
  • Deep expertise in software engineering best practices, including system design, CI/CD, testing strategies, resiliency, security, and operational stability for AI-driven platforms.
  • Strong experience designing API-first, microservices-based, and event-driven systems, including AI-focused data pipelines and lifecycle management.
  • Hands-on experience with Docker and Kubernetes.
  • Exceptional ability to articulate complex technical concepts, influence senior stakeholders, and lead high-impact technical discussions.
  • Strong understanding of banking and regulated financial environments, with the ability to connect AI capabilities to measurable business outcomes.
  • Nice to Have: Advanced data science expertise (statistical modeling, experimentation). Demonstrated experience mentoring and scaling AI-first engineering talent in rapidly evolving toolchains.


Education:

  • Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.


Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Primary Location Full Time Salary Range:
$145,100.00 - $217,700.00

Most Relevant Skills
Please see the requirements listed above.

Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

This job opening is for an existing job vacancy.

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Finance & Insurance
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ
C
* Ladders Estimates

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